[HTML][HTML] Implications of Big Data Analytics, AI, Machine Learning, and Deep Learning in the Health Care System of Bangladesh: Sco** Review

MA Alam, MRUZ Sajib, F Rahman, S Ether… - Journal of Medical …, 2024 - jmir.org
Background The rapid advancement of digital technologies, particularly in big data analytics
(BDA), artificial intelligence (AI), machine learning (ML), and deep learning (DL), is …

Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues

S Kaur, K Bansal, Y Kumar - 2022 5th International Conference …, 2022 - ieeexplore.ieee.org
Despite improved therapies and decades of research over the last century, hypertension
remained the world's leading avoidable cause of death. Machine learning (ML) is a subfield …

Status and trends of the association between diabetic nephropathy and diabetic retinopathy from 2000 to 2021: Bibliometric and visual analysis

W Lin, Y Luo, F Liu, H Li, Q Wang, Z Dong… - Frontiers in …, 2022 - frontiersin.org
Background: Diabetic nephropathy (DN) and diabetic retinopathy (DR) are microvascular
complications of diabetes that share a similar pathogenesis and clinical relevance. The …

Interpretable machine learning models for detecting peripheral neuropathy and lower extremity arterial disease in diabetics: an analysis of critical shared and unique …

Y Wu, D Dong, L Zhu, Z Luo, Y Liu, X **e - BMC Medical Informatics and …, 2024 - Springer
Background Diabetic peripheral neuropathy (DPN) and lower extremity arterial disease
(LEAD) are significant contributors to diabetic foot ulcers (DFUs), which severely affect …

Prediction of micro vascular and macro vascular complications in type-2 diabetic patients using machine learning techniques

B Vamsi, A Al Bataineh… - International Journal of …, 2022 - search.proquest.com
A collection of metabolic conditions known as diabetes mellitus are defined by
hyperglycemia brought on by deficiencies in insulin secretion, action, or both. In terms of …

[HTML][HTML] Risk of Microvascular Complications in Newly Diagnosed Type 2 Diabetes Patients Using Automated Machine Learning Prediction Models

A Khamis, F Abdul, S Dsouza, F Sulaiman… - Journal of Clinical …, 2024 - mdpi.com
Background/Objectives: In type 2 diabetes (T2D), collective damage to the eyes, kidneys,
and peripheral nerves constitutes microvascular complications, which significantly affect …

Detection of microvascular disease in Type-2 diabetes mellitus patients using White Shark assisted Extreme Gradient Boosted model

MD Kulkarni, SS Deore - Biomedical Signal Processing and Control, 2024 - Elsevier
About half population of the world is affected by various diseases, and diabetes is very
common among them. Type-2 Diabetes Mellitus is one form of diabetes which can cause …

Clinical Research on Type 2 Diabetes: A Promising and Multifaceted Landscape

F Gómez-Peralta, C Abreu - Journal of Clinical Medicine, 2022 - mdpi.com
Type 2 diabetes constitutes an imposing epidemiological, economic, and scientific global
challenge. The chronic complications of type 2 diabetes are a major cause of mortality and …

[PDF][PDF] Predicting Microvascular Complications in Diabetic Mellitus Using Improved Enhanced Coati Optimizer

M Diwakar Kulkarni, S Shivaji Deore… - … Journal of Computing …, 2024 - researchgate.net
Diabetes complications are classified as Macro and Microvascular Diseases. Microvascular
complications in type 2 Diabetic patients commonly occur as diabetic retinopathy, diabetic …

Comparative Analysis of Machine Learning and Data Mining based Multi-Models for Diabetes Risk Prediction

A Sinha, M Bhargavi, NK Singh, N Garg… - … for Women in …, 2022 - ieeexplore.ieee.org
The healthcare industry greatly benefits from the use of data mining techniques. Data
volume rises as medical record systems standardize, with much of it going unanalyzed. The …